Testing the Docs¶

balbalaablab

In [1]:

import sys
sys.path.append("..")
import numpy as np
from chromatic import *
from src.plot.interactive_plots import *
from src.utils import *

import sys sys.path.append("..") import numpy as np from chromatic import * from src.plot.interactive_plots import * from src.utils import *

Running on Python v3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:23:20) 
[Clang 12.0.1 ]
Running on numpy v1.22.3
Running on chromatic v0.0.25

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In [2]:

r = SimulatedRainbow(
    signal_to_noise=100, 
    dt=1*u.minute, 
    R=50)

r = SimulatedRainbow( signal_to_noise=100, dt=1*u.minute, R=50)

In [3]:

i = r.inject_transit(
    planet_radius=np.random.normal(0.1, 0.01, r.nwave)
)

i = r.inject_transit( planet_radius=np.random.normal(0.1, 0.01, r.nwave) )

In [4]:

i.imshow();

i.imshow();

In [5]:

b = i.bin(
    dw=0.1*u.micron, dt=10*u.minute
)
b.imshow();

b = i.bin( dw=0.1*u.micron, dt=10*u.minute ) b.imshow();

In [6]:

# synthetic spectrum + injected planet
i.imshow_interact()
# synthetic spectrum + injected planet, ylog scale
i.imshow_interact(ylog=True, custom_ylims=[0.985,1.005])

# synthetic spectrum + injected planet i.imshow_interact() # synthetic spectrum + injected planet, ylog scale i.imshow_interact(ylog=True, custom_ylims=[0.985,1.005])

🌈 Warning: >10,000 data points - interactive plot will lag! You should try binning the Rainbow first!
🌈 Warning: It looks like you might have unbinned data - you may want to use ylog=True!

🌈 Warning: >10,000 data points - interactive plot will lag! You should try binning the Rainbow first!

In [15]:

# synthetic spectrum + injected planet, binned
b.imshow_interact()
# synthetic spectrum + injected planet, binned, in hours
b.imshow_interact(t_unit='h',w_unit="nm",cmap='magma')

# synthetic spectrum + injected planet, binned b.imshow_interact() # synthetic spectrum + injected planet, binned, in hours b.imshow_interact(t_unit='h',w_unit="nm",cmap='magma')

In [13]:

# uncertainties
b.imshow_interact(quantity='uncertainty',t_unit='h')

# uncertainties b.imshow_interact(quantity='uncertainty',t_unit='h')

In [ ]: